Chinese text automatic summarization based on affinity propagation cluster

Authors:
Changwei Zhao;Qinke Peng;Changwei Zhao;Suhuan Sun
Affiliations:
State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China;State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China;School of Electronic and Information Engineering, Henan University of Science & Technology, Luoyang, China;School of Electronic and Information Engineering, Henan University of Science & Technology, Luoyang, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Year:
2009

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Abstract

Automatic summarization can help us accurately and efficiently obtain the information needed from the magnanimity information and has attracted more attention. In this paper, a new method for Chinese text summarization using the algorithm of Affinity Propagation Cluster (APC) is presented. It is not necessary to set the number of clusters and the initial representative exemplars in APC, so it can avoid the problems of local-optimal and instable clustering results caused by randomly selecting initial representative exemplars. And the algorithm has high computing efficiency. The results of the experiments show us that Chinese text automatic summarization based on APC has higher accuracy than that of other algorithms. APC is a suitable method for automatic text summarization.